Cover Image

Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Beigzad, Salar, Verma, Vansh
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NetworkFF: Unified Layer Optimization in Forward-Only Neural Networks
by: Beigzad, Salar
Published: (2025)

Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
by: Yousefiramandi, Amirhossein
Published: (2026)

Selectivity and Shape in the Design of Forward-Forward Goodness Functions
by: Akkus, Talha Ruzgar, et al.
Published: (2026)

Hyperspherical Forward-Forward with Prototypical Representations
by: Sarode, Shalini, et al.
Published: (2026)

Novel Saliency Analysis for the Forward Forward Algorithm
by: Bakhshi, Mitra
Published: (2024)

Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms
by: Hwang, Taewook, et al.
Published: (2024)

Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective
by: Gong, James, et al.
Published: (2025)

FLOPS: Forward Learning with OPtimal Sampling
by: Ren, Tao, et al.
Published: (2024)

Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
by: Flügel, Katharina, et al.
Published: (2024)

Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks
by: Terres-Escudero, Erik B., et al.
Published: (2024)

On the Optimizer Dependence of Neural Scaling Laws
by: Ramani, Vansh, et al.
Published: (2026)

Adaptive Spatial Goodness Encoding: Advancing and Scaling Forward-Forward Learning Without Backpropagation
by: Gong, Qingchun, et al.
Published: (2025)

Moonwalk: Inverse-Forward Differentiation
by: Krylov, Dmitrii, et al.
Published: (2024)

Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
by: Papachristodoulou, Andreas, et al.
Published: (2023)

Learning Flexible Forward Trajectories for Masked Molecular Diffusion
by: Seo, Hyunjin, et al.
Published: (2025)

Forward Only Learning for Orthogonal Neural Networks of any Depth
by: Caillon, Paul, et al.
Published: (2025)

On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
by: Sun, Haoyuan, et al.
Published: (2025)

Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses
by: As-Saquib, Nazmus Saadat, et al.
Published: (2025)

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
by: Ghader, Mohammadnavid, et al.
Published: (2025)

FLEX: Continuous Agent Evolution via Forward Learning from Experience
by: Cai, Zhicheng, et al.
Published: (2025)

Optimizing Dense Feed-Forward Neural Networks
by: Balderas, Luis, et al.
Published: (2023)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
by: Zhao, Gongpei, et al.
Published: (2024)

In Search of Goodness: Large Scale Benchmarking of Goodness Functions for the Forward-Forward Algorithm
by: Shah, Arya, et al.
Published: (2025)

Using Forwards-Backwards Models to Approximate MDP Homomorphisms
by: Mavor-Parker, Augustine N., et al.
Published: (2022)

Continual Learning: Applications and the Road Forward
by: Verwimp, Eli, et al.
Published: (2023)

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
by: Tao, Stone, et al.
Published: (2024)

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)

Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity
by: Gautam, Aayush, et al.
Published: (2026)

FwdLLM: Efficient FedLLM using Forward Gradient
by: Xu, Mengwei, et al.
Published: (2023)

Feed-Forward Optimization With Delayed Feedback for Neural Network Training
by: Flügel, Katharina, et al.
Published: (2023)

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps
by: Xia, Meng, et al.
Published: (2025)

A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models
by: Sharma, Vansh, et al.
Published: (2023)

On Using Admissible Bounds for Learning Forward Search Heuristics
by: Núñez-Molina, Carlos, et al.
Published: (2023)

Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning
by: Zhang, Yixian, et al.
Published: (2025)

Flash Multi-Head Feed-Forward Network
by: Zhang, Minshen, et al.
Published: (2025)

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
by: Yao, Yihang, et al.
Published: (2026)

A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting
by: Caldas, Francisco, et al.
Published: (2026)

Forward versus Backward: Comparing Reasoning Objectives in Direct Preference Optimization
by: Nikzad, Murtaza, et al.
Published: (2026)

Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward
by: Liu, Zikang, et al.
Published: (2025)

Thinking Forward and Backward: Effective Backward Planning with Large Language Models
by: Ren, Allen Z., et al.
Published: (2024)